John Snow Labs

OCTOBER 19, 2023

How to use the LangTest library to evaluate LLM for bias using CrowS-Pairs dataset? report() Output of the.report() In this snippet, we defined the task as crows-pairs , the model as bert-base-uncased from huggingface , and the data as CrowS-Pairs.

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ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. This enhances the context awareness and factual accuracy of LLM outputs.

Prompt Engineer 52

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John Snow Labs

NOVEMBER 6, 2023

On the other hand, LangTest has emerged as a transformative force in the realm of Natural Language Processing (NLP) and Large Language Model (LLM) evaluation. LangTest has already made waves in the AI community, showcasing its efficacy in identifying and resolving significant Responsible AI challenges.

ML 52

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John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” of data science teams have implemented LLM applications currently in use by their own or client companies. According to the data collected by Forbes , over a half (53.3%

NLP 52

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AssemblyAI

MAY 23, 2023

Large Language Models In recent years, LLM development has seen a significant increase in size, as measured by the number of parameters. This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. You can use FMEval to evaluate AWS-hosted LLMs such as Amazon Bedrock, Jumpstart and other SageMaker models.

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John Snow Labs

NOVEMBER 8, 2023

Introduction Natural Language Processing (NLP) and Large Language Models (LLMs) in particular have evolved to enable new levels of comprehending and generating human language. Nonetheless, LLM & NLP models are not immune to biases, often reflecting the biases present in the data used for their training.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. These breakthroughs have paved the way for transformative AI applications across various industries, empowering organizations to leverage AI’s potential while navigating ethical considerations.

Data Scientist 52

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. These breakthroughs have paved the way for transformative AI applications across various industries, empowering organizations to leverage AI’s potential while navigating ethical considerations.

Data Scientist 52

Data Scientist AI AI LLM 52

AWS Machine Learning Blog

AUGUST 11, 2023

Large language models (LLMs) are transformer-based models trained on a large amount of unlabeled text with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. A common practice for NLP downstream tasks is to take a pre-trained LLM and fine-tune it.

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Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. Really quickly, LLMs can do many things. Hope you can all hear me well.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. Really quickly, LLMs can do many things. Hope you can all hear me well.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Heartbeat

OCTOBER 12, 2023

One of the standout achievements in this domain is the development of models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers). Architectural Adaptations : LLM architectures are evolving to accommodate multi-modal data as input and derive features from them.

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